1.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.02
## LDevsum       1.11       1.30
## dh0           1.83       2.90
## dh1           1.05       1.13
## dh2           2.48       4.10
## dh3           1.14       1.38
## dl0           2.06       3.34
## dl1           1.04       1.09
## dl2           2.43       4.05
## dl3           1.18       1.46
## 
## Multivariate psrf
## 
## 2.24

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.02       1.06
## LDevsum       1.00       1.00
## dh0           3.67       6.86
## dh1          26.47      50.69
## dh2          17.64      35.63
## dh3           7.41      13.34
## dl0           1.49       2.31
## dl1           1.07       1.19
## dl2           1.06       1.15
## dl3           1.06       1.16
## 
## Multivariate psrf
## 
## 23.7

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results